Overview

Brought to you by YData

Dataset statistics

Number of variables35
Number of observations195
Missing cells552
Missing cells (%)8.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory107.7 KiB
Average record size in memory565.3 B

Variable types

Text6
Numeric29

Alerts

armed_forces_size is highly overall correlated with co2_emissions and 4 other fieldsHigh correlation
birth_rate is highly overall correlated with fertility_rate and 7 other fieldsHigh correlation
co2_emissions is highly overall correlated with armed_forces_size and 4 other fieldsHigh correlation
cpi is highly overall correlated with cpi_change_pctHigh correlation
cpi_change_pct is highly overall correlated with cpiHigh correlation
fertility_rate is highly overall correlated with birth_rate and 7 other fieldsHigh correlation
gdp is highly overall correlated with armed_forces_size and 4 other fieldsHigh correlation
gross_tertiary_education_enrollment_pct is highly overall correlated with birth_rate and 9 other fieldsHigh correlation
infant_mortality is highly overall correlated with birth_rate and 7 other fieldsHigh correlation
land_area_km2 is highly overall correlated with armed_forces_size and 2 other fieldsHigh correlation
latitude is highly overall correlated with birth_rate and 5 other fieldsHigh correlation
life_expectancy is highly overall correlated with birth_rate and 6 other fieldsHigh correlation
maternal_mortality_ratio is highly overall correlated with birth_rate and 7 other fieldsHigh correlation
minimum_wage is highly overall correlated with birth_rate and 6 other fieldsHigh correlation
physicians_per_thousand is highly overall correlated with birth_rate and 7 other fieldsHigh correlation
population is highly overall correlated with armed_forces_size and 4 other fieldsHigh correlation
urban_population is highly overall correlated with armed_forces_size and 4 other fieldsHigh correlation
density_p_km2 has 20 (10.3%) missing values Missing
abbreviation has 7 (3.6%) missing values Missing
agricultural_land_pct has 7 (3.6%) missing values Missing
land_area_km2 has 21 (10.8%) missing values Missing
armed_forces_size has 38 (19.5%) missing values Missing
birth_rate has 26 (13.3%) missing values Missing
capital_major_city has 3 (1.5%) missing values Missing
co2_emissions has 7 (3.6%) missing values Missing
cpi has 17 (8.7%) missing values Missing
cpi_change_pct has 16 (8.2%) missing values Missing
currency_code has 15 (7.7%) missing values Missing
fertility_rate has 7 (3.6%) missing values Missing
forested_area_pct has 7 (3.6%) missing values Missing
gasoline_price has 20 (10.3%) missing values Missing
gdp has 22 (11.3%) missing values Missing
gross_primary_education_enrollment_pct has 7 (3.6%) missing values Missing
gross_tertiary_education_enrollment_pct has 12 (6.2%) missing values Missing
infant_mortality has 26 (13.3%) missing values Missing
largest_city has 6 (3.1%) missing values Missing
life_expectancy has 27 (13.8%) missing values Missing
maternal_mortality_ratio has 32 (16.4%) missing values Missing
minimum_wage has 45 (23.1%) missing values Missing
official_language has 5 (2.6%) missing values Missing
out_of_pocket_health_expenditure has 7 (3.6%) missing values Missing
physicians_per_thousand has 27 (13.8%) missing values Missing
population has 21 (10.8%) missing values Missing
population:_labor_force_participation_pct has 19 (9.7%) missing values Missing
tax_revenue_pct has 26 (13.3%) missing values Missing
total_tax_rate has 12 (6.2%) missing values Missing
unemployment_rate has 19 (9.7%) missing values Missing
urban_population has 25 (12.8%) missing values Missing
country has unique values Unique
forested_area_pct has 3 (1.5%) zeros Zeros
tax_revenue_pct has 2 (1.0%) zeros Zeros

Reproduction

Analysis started2025-11-07 11:07:54.469929
Analysis finished2025-11-07 11:08:28.504850
Duration34.03 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

country
Text

Unique 

Distinct195
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
2025-11-07T11:08:28.612261image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Length

Max length32
Median length22
Mean length8.8615385
Min length4

Characters and Unicode

Total characters1728
Distinct characters53
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique195 ?
Unique (%)100.0%

Sample

1st rowAfghanistan
2nd rowAlbania
3rd rowAlgeria
4th rowAndorra
5th rowAngola
ValueCountFrequency (%)
republic 6
 
2.4%
the 5
 
2.0%
and 5
 
2.0%
of 4
 
1.6%
south 3
 
1.2%
guinea 3
 
1.2%
saint 3
 
1.2%
united 3
 
1.2%
states 2
 
0.8%
congo 2
 
0.8%
Other values (214) 219
85.9%
2025-11-07T11:08:28.766126image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 260
15.0%
i 151
 
8.7%
n 133
 
7.7%
e 117
 
6.8%
r 93
 
5.4%
o 92
 
5.3%
t 75
 
4.3%
u 68
 
3.9%
60
 
3.5%
l 60
 
3.5%
Other values (43) 619
35.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1728
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 260
15.0%
i 151
 
8.7%
n 133
 
7.7%
e 117
 
6.8%
r 93
 
5.4%
o 92
 
5.3%
t 75
 
4.3%
u 68
 
3.9%
60
 
3.5%
l 60
 
3.5%
Other values (43) 619
35.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1728
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 260
15.0%
i 151
 
8.7%
n 133
 
7.7%
e 117
 
6.8%
r 93
 
5.4%
o 92
 
5.3%
t 75
 
4.3%
u 68
 
3.9%
60
 
3.5%
l 60
 
3.5%
Other values (43) 619
35.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1728
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 260
15.0%
i 151
 
8.7%
n 133
 
7.7%
e 117
 
6.8%
r 93
 
5.4%
o 92
 
5.3%
t 75
 
4.3%
u 68
 
3.9%
60
 
3.5%
l 60
 
3.5%
Other values (43) 619
35.8%

density_p_km2
Real number (ℝ)

Missing 

Distinct123
Distinct (%)70.3%
Missing20
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean136.28571
Minimum7
Maximum667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2025-11-07T11:08:28.820908image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile16
Q140
median89
Q3203
95-th percentile463.3
Maximum667
Range660
Interquartile range (IQR)163

Descriptive statistics

Standard deviation137.69093
Coefficient of variation (CV)1.0103108
Kurtosis2.5968718
Mean136.28571
Median Absolute Deviation (MAD)57
Skewness1.7015022
Sum23850
Variance18958.791
MonotonicityNot monotonic
2025-11-07T11:08:28.868381image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 7
 
3.6%
18 5
 
2.6%
83 5
 
2.6%
20 3
 
1.5%
26 3
 
1.5%
17 3
 
1.5%
137 3
 
1.5%
16 3
 
1.5%
13 2
 
1.0%
214 2
 
1.0%
Other values (113) 139
71.3%
(Missing) 20
 
10.3%
ValueCountFrequency (%)
7 1
 
0.5%
8 1
 
0.5%
9 2
 
1.0%
11 1
 
0.5%
13 2
 
1.0%
15 1
 
0.5%
16 3
1.5%
17 3
1.5%
18 5
2.6%
19 1
 
0.5%
ValueCountFrequency (%)
667 1
0.5%
626 1
0.5%
566 1
0.5%
541 1
0.5%
527 1
0.5%
525 1
0.5%
508 1
0.5%
467 1
0.5%
464 1
0.5%
463 1
0.5%

abbreviation
Text

Missing 

Distinct188
Distinct (%)100.0%
Missing7
Missing (%)3.6%
Memory size9.7 KiB
2025-11-07T11:08:28.998173image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters376
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique188 ?
Unique (%)100.0%

Sample

1st rowAF
2nd rowAL
3rd rowDZ
4th rowAD
5th rowAO
ValueCountFrequency (%)
af 1
 
0.5%
az 1
 
0.5%
ba 1
 
0.5%
dz 1
 
0.5%
ad 1
 
0.5%
ao 1
 
0.5%
ag 1
 
0.5%
ar 1
 
0.5%
am 1
 
0.5%
au 1
 
0.5%
Other values (178) 178
94.7%
2025-11-07T11:08:29.169277image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
M 29
 
7.7%
S 25
 
6.6%
T 23
 
6.1%
G 22
 
5.9%
A 21
 
5.6%
B 21
 
5.6%
C 19
 
5.1%
L 19
 
5.1%
E 18
 
4.8%
N 18
 
4.8%
Other values (16) 161
42.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 376
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
M 29
 
7.7%
S 25
 
6.6%
T 23
 
6.1%
G 22
 
5.9%
A 21
 
5.6%
B 21
 
5.6%
C 19
 
5.1%
L 19
 
5.1%
E 18
 
4.8%
N 18
 
4.8%
Other values (16) 161
42.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 376
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
M 29
 
7.7%
S 25
 
6.6%
T 23
 
6.1%
G 22
 
5.9%
A 21
 
5.6%
B 21
 
5.6%
C 19
 
5.1%
L 19
 
5.1%
E 18
 
4.8%
N 18
 
4.8%
Other values (16) 161
42.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 376
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
M 29
 
7.7%
S 25
 
6.6%
T 23
 
6.1%
G 22
 
5.9%
A 21
 
5.6%
B 21
 
5.6%
C 19
 
5.1%
L 19
 
5.1%
E 18
 
4.8%
N 18
 
4.8%
Other values (16) 161
42.8%

agricultural_land_pct
Real number (ℝ)

Missing 

Distinct168
Distinct (%)89.4%
Missing7
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean39.117553
Minimum0.6
Maximum82.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2025-11-07T11:08:29.219512image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum0.6
5-th percentile4.915
Q121.7
median39.6
Q355.375
95-th percentile74.85
Maximum82.6
Range82
Interquartile range (IQR)33.675

Descriptive statistics

Standard deviation21.783052
Coefficient of variation (CV)0.55686131
Kurtosis-0.94699995
Mean39.117553
Median Absolute Deviation (MAD)17.6
Skewness0.090843607
Sum7354.1
Variance474.50135
MonotonicityNot monotonic
2025-11-07T11:08:29.263606image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.4 3
 
1.5%
73.4 2
 
1.0%
23.3 2
 
1.0%
39.3 2
 
1.0%
34.5 2
 
1.0%
31.1 2
 
1.0%
71.5 2
 
1.0%
64.8 2
 
1.0%
23.1 2
 
1.0%
2.7 2
 
1.0%
Other values (158) 167
85.6%
(Missing) 7
 
3.6%
ValueCountFrequency (%)
0.6 1
0.5%
0.9 1
0.5%
1.4 1
0.5%
2.6 1
0.5%
2.7 2
1.0%
3.4 1
0.5%
3.8 1
0.5%
3.9 1
0.5%
4.6 1
0.5%
5.5 1
0.5%
ValueCountFrequency (%)
82.6 1
0.5%
80.8 1
0.5%
80.4 1
0.5%
79.8 1
0.5%
79.2 1
0.5%
77.7 1
0.5%
77.6 1
0.5%
76.4 1
0.5%
75.8 1
0.5%
75.2 1
0.5%

land_area_km2
Real number (ℝ)

High correlation  Missing 

Distinct174
Distinct (%)100.0%
Missing21
Missing (%)10.8%
Infinite0
Infinite (%)0.0%
Mean343914.48
Minimum349
Maximum2344858
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2025-11-07T11:08:29.306665image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum349
5-th percentile711.1
Q128225.25
median119511
Q3459703.75
95-th percentile1284425.6
Maximum2344858
Range2344509
Interquartile range (IQR)431478.5

Descriptive statistics

Standard deviation477399.65
Coefficient of variation (CV)1.3881348
Kurtosis3.9812458
Mean343914.48
Median Absolute Deviation (MAD)117380
Skewness2.020836
Sum59841120
Variance2.2791043 × 1011
MonotonicityNot monotonic
2025-11-07T11:08:29.353277image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
652230 1
 
0.5%
462840 1
 
0.5%
923768 1
 
0.5%
120538 1
 
0.5%
25713 1
 
0.5%
323802 1
 
0.5%
309500 1
 
0.5%
796095 1
 
0.5%
459 1
 
0.5%
75420 1
 
0.5%
Other values (164) 164
84.1%
(Missing) 21
 
10.8%
ValueCountFrequency (%)
349 1
0.5%
389 1
0.5%
430 1
0.5%
443 1
0.5%
455 1
0.5%
459 1
0.5%
468 1
0.5%
616 1
0.5%
702 1
0.5%
716 1
0.5%
ValueCountFrequency (%)
2344858 1
0.5%
2149690 1
0.5%
1964375 1
0.5%
1904569 1
0.5%
1861484 1
0.5%
1759540 1
0.5%
1648195 1
0.5%
1564116 1
0.5%
1285216 1
0.5%
1284000 1
0.5%

armed_forces_size
Real number (ℝ)

High correlation  Missing 

Distinct95
Distinct (%)60.5%
Missing38
Missing (%)19.5%
Infinite0
Infinite (%)0.0%
Mean89490.446
Minimum1000
Maximum634000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2025-11-07T11:08:29.398695image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile2000
Q111000
median29000
Q3124000
95-th percentile343800
Maximum634000
Range633000
Interquartile range (IQR)113000

Descriptive statistics

Standard deviation128506.34
Coefficient of variation (CV)1.4359783
Kurtosis4.5271885
Mean89490.446
Median Absolute Deviation (MAD)23000
Skewness2.1531674
Sum14050000
Variance1.651388 × 1010
MonotonicityNot monotonic
2025-11-07T11:08:29.445325image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2000 7
 
3.6%
1000 6
 
3.1%
16000 5
 
2.6%
4000 5
 
2.6%
9000 5
 
2.6%
21000 4
 
2.1%
12000 4
 
2.1%
23000 3
 
1.5%
18000 3
 
1.5%
10000 3
 
1.5%
Other values (85) 112
57.4%
(Missing) 38
 
19.5%
ValueCountFrequency (%)
1000 6
3.1%
2000 7
3.6%
3000 2
 
1.0%
4000 5
2.6%
5000 1
 
0.5%
6000 3
1.5%
7000 3
1.5%
8000 2
 
1.0%
9000 5
2.6%
10000 3
1.5%
ValueCountFrequency (%)
634000 1
0.5%
563000 1
0.5%
522000 1
0.5%
513000 1
0.5%
512000 1
0.5%
481000 1
0.5%
455000 1
0.5%
347000 1
0.5%
343000 1
0.5%
336000 1
0.5%

birth_rate
Real number (ℝ)

High correlation  Missing 

Distinct150
Distinct (%)88.8%
Missing26
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean19.763018
Minimum8.6
Maximum37.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2025-11-07T11:08:29.490731image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum8.6
5-th percentile9.516
Q111.78
median17.95
Q327.07
95-th percentile35.262
Maximum37.91
Range29.31
Interquartile range (IQR)15.29

Descriptive statistics

Standard deviation8.6773077
Coefficient of variation (CV)0.43906795
Kurtosis-1.028078
Mean19.763018
Median Absolute Deviation (MAD)6.61
Skewness0.50713692
Sum3339.95
Variance75.295669
MonotonicityNot monotonic
2025-11-07T11:08:29.542385image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 3
 
1.5%
10 3
 
1.5%
16.75 2
 
1.0%
17.55 2
 
1.0%
10.1 2
 
1.0%
10.6 2
 
1.0%
10.2 2
 
1.0%
10.9 2
 
1.0%
10.3 2
 
1.0%
9.9 2
 
1.0%
Other values (140) 147
75.4%
(Missing) 26
 
13.3%
ValueCountFrequency (%)
8.6 1
0.5%
8.7 1
0.5%
8.8 1
0.5%
8.9 1
0.5%
9 1
0.5%
9.2 2
1.0%
9.4 1
0.5%
9.5 1
0.5%
9.54 1
0.5%
9.6 2
1.0%
ValueCountFrequency (%)
37.91 1
0.5%
37.52 1
0.5%
36.7 1
0.5%
36.36 1
0.5%
36.22 1
0.5%
36.19 1
0.5%
35.74 1
0.5%
35.39 1
0.5%
35.35 1
0.5%
35.13 1
0.5%

calling_code
Real number (ℝ)

Distinct182
Distinct (%)93.8%
Missing1
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean360.54639
Minimum1
Maximum1876
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2025-11-07T11:08:29.641199image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q182.5
median255.5
Q3506.75
95-th percentile974.35
Maximum1876
Range1875
Interquartile range (IQR)424.25

Descriptive statistics

Standard deviation323.23642
Coefficient of variation (CV)0.89651825
Kurtosis1.5902054
Mean360.54639
Median Absolute Deviation (MAD)194
Skewness1.1916716
Sum69946
Variance104481.78
MonotonicityNot monotonic
2025-11-07T11:08:29.689098image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 12
 
6.2%
7 2
 
1.0%
680 1
 
0.5%
64 1
 
0.5%
505 1
 
0.5%
227 1
 
0.5%
234 1
 
0.5%
850 1
 
0.5%
389 1
 
0.5%
47 1
 
0.5%
Other values (172) 172
88.2%
ValueCountFrequency (%)
1 12
6.2%
7 2
 
1.0%
20 1
 
0.5%
27 1
 
0.5%
30 1
 
0.5%
31 1
 
0.5%
32 1
 
0.5%
33 1
 
0.5%
34 1
 
0.5%
36 1
 
0.5%
ValueCountFrequency (%)
1876 1
0.5%
998 1
0.5%
996 1
0.5%
995 1
0.5%
994 1
0.5%
993 1
0.5%
992 1
0.5%
977 1
0.5%
976 1
0.5%
975 1
0.5%

capital_major_city
Text

Missing 

Distinct192
Distinct (%)100.0%
Missing3
Missing (%)1.5%
Memory size11.3 KiB
2025-11-07T11:08:29.774274image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Length

Max length21
Median length18
Mean length8.1770833
Min length4

Characters and Unicode

Total characters1570
Distinct characters54
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique192 ?
Unique (%)100.0%

Sample

1st rowKabul
2nd rowTirana
3rd rowAlgiers
4th rowAndorra la Vella
5th rowLuanda
ValueCountFrequency (%)
city 10
 
4.2%
port 4
 
1.7%
of 3
 
1.3%
san 3
 
1.3%
st 2
 
0.8%
baku 1
 
0.4%
luanda 1
 
0.4%
john's 1
 
0.4%
saint 1
 
0.4%
john 1
 
0.4%
Other values (209) 209
88.6%
2025-11-07T11:08:29.901408image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 222
 
14.1%
o 110
 
7.0%
i 109
 
6.9%
n 97
 
6.2%
r 85
 
5.4%
e 84
 
5.4%
u 69
 
4.4%
t 68
 
4.3%
s 65
 
4.1%
l 50
 
3.2%
Other values (44) 611
38.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1570
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 222
 
14.1%
o 110
 
7.0%
i 109
 
6.9%
n 97
 
6.2%
r 85
 
5.4%
e 84
 
5.4%
u 69
 
4.4%
t 68
 
4.3%
s 65
 
4.1%
l 50
 
3.2%
Other values (44) 611
38.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1570
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 222
 
14.1%
o 110
 
7.0%
i 109
 
6.9%
n 97
 
6.2%
r 85
 
5.4%
e 84
 
5.4%
u 69
 
4.4%
t 68
 
4.3%
s 65
 
4.1%
l 50
 
3.2%
Other values (44) 611
38.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1570
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 222
 
14.1%
o 110
 
7.0%
i 109
 
6.9%
n 97
 
6.2%
r 85
 
5.4%
e 84
 
5.4%
u 69
 
4.4%
t 68
 
4.3%
s 65
 
4.1%
l 50
 
3.2%
Other values (44) 611
38.9%

co2_emissions
Real number (ℝ)

High correlation  Missing 

Distinct184
Distinct (%)97.9%
Missing7
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean177799.24
Minimum11
Maximum9893038
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2025-11-07T11:08:29.951748image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile187.7
Q12304.25
median12303
Q363884.25
95-th percentile556874.15
Maximum9893038
Range9893027
Interquartile range (IQR)61580

Descriptive statistics

Standard deviation838790.27
Coefficient of variation (CV)4.7176257
Kurtosis102.74825
Mean177799.24
Median Absolute Deviation (MAD)12072
Skewness9.5735134
Sum33426257
Variance7.0356911 × 1011
MonotonicityNot monotonic
2025-11-07T11:08:30.000162image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
143 2
 
1.0%
495 2
 
1.0%
28284 2
 
1.0%
2017 2
 
1.0%
7407 1
 
0.5%
120369 1
 
0.5%
41023 1
 
0.5%
63457 1
 
0.5%
201150 1
 
0.5%
224 1
 
0.5%
Other values (174) 174
89.2%
(Missing) 7
 
3.6%
ValueCountFrequency (%)
11 1
0.5%
51 1
0.5%
66 1
0.5%
121 1
0.5%
128 1
0.5%
143 2
1.0%
147 1
0.5%
169 1
0.5%
180 1
0.5%
202 1
0.5%
ValueCountFrequency (%)
9893038 1
0.5%
5006302 1
0.5%
2407672 1
0.5%
1732027 1
0.5%
1135886 1
0.5%
727973 1
0.5%
661710 1
0.5%
620302 1
0.5%
563449 1
0.5%
563325 1
0.5%

cpi
Real number (ℝ)

High correlation  Missing 

Distinct175
Distinct (%)98.3%
Missing17
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean190.46096
Minimum99.03
Maximum4583.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2025-11-07T11:08:30.047308image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum99.03
5-th percentile104.8505
Q1113.885
median125.34
Q3157.265
95-th percentile267.6375
Maximum4583.71
Range4484.68
Interquartile range (IQR)43.38

Descriptive statistics

Standard deviation397.94738
Coefficient of variation (CV)2.0893909
Kurtosis94.031815
Mean190.46096
Median Absolute Deviation (MAD)15.565
Skewness9.3317385
Sum33902.05
Variance158362.12
MonotonicityNot monotonic
2025-11-07T11:08:30.094337image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110.62 2
 
1.0%
99.55 2
 
1.0%
106.58 2
 
1.0%
149.9 1
 
0.5%
114.24 1
 
0.5%
162.74 1
 
0.5%
109.32 1
 
0.5%
267.51 1
 
0.5%
120.27 1
 
0.5%
113.53 1
 
0.5%
Other values (165) 165
84.6%
(Missing) 17
 
8.7%
ValueCountFrequency (%)
99.03 1
0.5%
99.55 2
1.0%
99.7 1
0.5%
101.87 1
0.5%
102.51 1
0.5%
103.62 1
0.5%
103.87 1
0.5%
104.57 1
0.5%
104.9 1
0.5%
105.48 1
0.5%
ValueCountFrequency (%)
4583.71 1
0.5%
2740.27 1
0.5%
1344.19 1
0.5%
550.93 1
0.5%
418.34 1
0.5%
294.66 1
0.5%
288.57 1
0.5%
281.66 1
0.5%
268.36 1
0.5%
267.51 1
0.5%

cpi_change_pct
Real number (ℝ)

High correlation  Missing 

Distinct86
Distinct (%)48.0%
Missing16
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean6.7223464
Minimum-4.3
Maximum254.9
Zeros0
Zeros (%)0.0%
Negative15
Negative (%)7.7%
Memory size1.7 KiB
2025-11-07T11:08:30.139695image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum-4.3
5-th percentile-0.9
Q11
median2.3
Q34.25
95-th percentile17.59
Maximum254.9
Range259.2
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation24.450414
Coefficient of variation (CV)3.6371845
Kurtosis76.336706
Mean6.7223464
Median Absolute Deviation (MAD)1.5
Skewness8.3573408
Sum1203.3
Variance597.82276
MonotonicityNot monotonic
2025-11-07T11:08:30.186604image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.8 7
 
3.6%
1.8 7
 
3.6%
2.6 6
 
3.1%
2.3 5
 
2.6%
1.4 5
 
2.6%
0.8 5
 
2.6%
1 5
 
2.6%
2.1 5
 
2.6%
1.6 5
 
2.6%
2.5 4
 
2.1%
Other values (76) 125
64.1%
(Missing) 16
 
8.2%
ValueCountFrequency (%)
-4.3 1
 
0.5%
-3.2 1
 
0.5%
-2.5 1
 
0.5%
-1.9 1
 
0.5%
-1.7 1
 
0.5%
-1.2 1
 
0.5%
-1 2
1.0%
-0.9 3
1.5%
-0.7 2
1.0%
-0.4 2
1.0%
ValueCountFrequency (%)
254.9 1
0.5%
187.9 1
0.5%
53.5 1
0.5%
51 1
0.5%
39.9 1
0.5%
37.1 1
0.5%
36.7 1
0.5%
23.6 1
0.5%
22 1
0.5%
17.1 1
0.5%

currency_code
Text

Missing 

Distinct133
Distinct (%)73.9%
Missing15
Missing (%)7.7%
Memory size9.7 KiB
2025-11-07T11:08:30.285179image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters540
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique126 ?
Unique (%)70.0%

Sample

1st rowAFN
2nd rowALL
3rd rowDZD
4th rowEUR
5th rowAOA
ValueCountFrequency (%)
eur 23
 
12.8%
xof 8
 
4.4%
xcd 6
 
3.3%
usd 6
 
3.3%
xaf 5
 
2.8%
aud 4
 
2.2%
chf 2
 
1.1%
bbd 1
 
0.6%
bwp 1
 
0.6%
bam 1
 
0.6%
Other values (123) 123
68.3%
2025-11-07T11:08:30.420828image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
D 52
 
9.6%
R 51
 
9.4%
U 44
 
8.1%
E 34
 
6.3%
S 31
 
5.7%
A 26
 
4.8%
N 25
 
4.6%
F 24
 
4.4%
K 21
 
3.9%
M 21
 
3.9%
Other values (16) 211
39.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 540
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
D 52
 
9.6%
R 51
 
9.4%
U 44
 
8.1%
E 34
 
6.3%
S 31
 
5.7%
A 26
 
4.8%
N 25
 
4.6%
F 24
 
4.4%
K 21
 
3.9%
M 21
 
3.9%
Other values (16) 211
39.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 540
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
D 52
 
9.6%
R 51
 
9.4%
U 44
 
8.1%
E 34
 
6.3%
S 31
 
5.7%
A 26
 
4.8%
N 25
 
4.6%
F 24
 
4.4%
K 21
 
3.9%
M 21
 
3.9%
Other values (16) 211
39.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 540
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
D 52
 
9.6%
R 51
 
9.4%
U 44
 
8.1%
E 34
 
6.3%
S 31
 
5.7%
A 26
 
4.8%
N 25
 
4.6%
F 24
 
4.4%
K 21
 
3.9%
M 21
 
3.9%
Other values (16) 211
39.1%

fertility_rate
Real number (ℝ)

High correlation  Missing 

Distinct139
Distinct (%)73.9%
Missing7
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean2.6981383
Minimum0.98
Maximum6.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2025-11-07T11:08:30.469666image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum0.98
5-th percentile1.3105
Q11.705
median2.245
Q33.5975
95-th percentile5.1095
Maximum6.91
Range5.93
Interquartile range (IQR)1.8925

Descriptive statistics

Standard deviation1.2822675
Coefficient of variation (CV)0.47524157
Kurtosis-0.044592056
Mean2.6981383
Median Absolute Deviation (MAD)0.68
Skewness0.94764282
Sum507.25
Variance1.6442099
MonotonicityNot monotonic
2025-11-07T11:08:30.515680image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.73 5
 
2.6%
1.62 4
 
2.1%
1.75 4
 
2.1%
1.71 3
 
1.5%
2.46 3
 
1.5%
1.56 3
 
1.5%
4.32 3
 
1.5%
1.26 3
 
1.5%
1.41 3
 
1.5%
2.42 3
 
1.5%
Other values (129) 154
79.0%
(Missing) 7
 
3.6%
ValueCountFrequency (%)
0.98 1
 
0.5%
1.14 1
 
0.5%
1.23 1
 
0.5%
1.26 3
1.5%
1.27 2
1.0%
1.29 1
 
0.5%
1.3 1
 
0.5%
1.33 1
 
0.5%
1.35 1
 
0.5%
1.37 1
 
0.5%
ValueCountFrequency (%)
6.91 1
0.5%
6.07 1
0.5%
5.92 1
0.5%
5.88 1
0.5%
5.75 1
0.5%
5.52 1
0.5%
5.41 1
0.5%
5.39 1
0.5%
5.22 1
0.5%
5.19 1
0.5%

forested_area_pct
Real number (ℝ)

Missing  Zeros 

Distinct161
Distinct (%)85.6%
Missing7
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean32.015426
Minimum0
Maximum98.3
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2025-11-07T11:08:30.562345image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.605
Q111
median32
Q348.175
95-th percentile72.89
Maximum98.3
Range98.3
Interquartile range (IQR)37.175

Descriptive statistics

Standard deviation23.791331
Coefficient of variation (CV)0.74312086
Kurtosis-0.45137709
Mean32.015426
Median Absolute Deviation (MAD)19.4
Skewness0.51849506
Sum6018.9
Variance566.02741
MonotonicityNot monotonic
2025-11-07T11:08:31.185267image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43.1 3
 
1.5%
33.2 3
 
1.5%
12.6 3
 
1.5%
32.7 3
 
1.5%
0 3
 
1.5%
12.5 2
 
1.0%
52.7 2
 
1.0%
19.7 2
 
1.0%
34.6 2
 
1.0%
0.1 2
 
1.0%
Other values (151) 163
83.6%
(Missing) 7
 
3.6%
ValueCountFrequency (%)
0 3
1.5%
0.1 2
1.0%
0.2 2
1.0%
0.4 1
 
0.5%
0.5 2
1.0%
0.8 2
1.0%
0.9 1
 
0.5%
1 1
 
0.5%
1.1 2
1.0%
1.2 1
 
0.5%
ValueCountFrequency (%)
98.3 1
0.5%
91.9 1
0.5%
90 1
0.5%
88.4 1
0.5%
87.6 1
0.5%
83.9 1
0.5%
82.1 1
0.5%
77.9 1
0.5%
74.1 1
0.5%
73.1 1
0.5%

gasoline_price
Real number (ℝ)

Missing 

Distinct101
Distinct (%)57.7%
Missing20
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean1.0024571
Minimum0
Maximum2
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2025-11-07T11:08:31.230167image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4
Q10.755
median0.98
Q31.24
95-th percentile1.582
Maximum2
Range2
Interquartile range (IQR)0.485

Descriptive statistics

Standard deviation0.36885847
Coefficient of variation (CV)0.36795435
Kurtosis-0.0010264735
Mean1.0024571
Median Absolute Deviation (MAD)0.24
Skewness0.034370618
Sum175.43
Variance0.13605657
MonotonicityNot monotonic
2025-11-07T11:08:31.280626image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.71 6
 
3.1%
1.16 5
 
2.6%
0.92 5
 
2.6%
0.98 4
 
2.1%
1.12 4
 
2.1%
0.83 3
 
1.5%
0.9 3
 
1.5%
1.36 3
 
1.5%
1.03 3
 
1.5%
1.32 3
 
1.5%
Other values (91) 136
69.7%
(Missing) 20
 
10.3%
ValueCountFrequency (%)
0 1
 
0.5%
0.11 1
 
0.5%
0.24 1
 
0.5%
0.28 2
1.0%
0.29 1
 
0.5%
0.35 1
 
0.5%
0.37 1
 
0.5%
0.4 3
1.5%
0.42 1
 
0.5%
0.43 1
 
0.5%
ValueCountFrequency (%)
2 2
1.0%
1.81 1
0.5%
1.78 1
0.5%
1.74 1
0.5%
1.69 1
0.5%
1.68 1
0.5%
1.63 1
0.5%
1.61 1
0.5%
1.57 1
0.5%
1.55 1
0.5%

gdp
Real number (ℝ)

High correlation  Missing 

Distinct173
Distinct (%)100.0%
Missing22
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean1.6084273 × 1011
Minimum8.5065502 × 108
Maximum1.7364256 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2025-11-07T11:08:31.327324image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum8.5065502 × 108
5-th percentile1.688722 × 109
Q11.1026775 × 1010
median3.4387229 × 1010
Q31.8016174 × 1011
95-th percentile7.2361414 × 1011
Maximum1.7364256 × 1012
Range1.735575 × 1012
Interquartile range (IQR)1.6913497 × 1011

Descriptive statistics

Standard deviation3.0072203 × 1011
Coefficient of variation (CV)1.869665
Kurtosis11.353447
Mean1.6084273 × 1011
Median Absolute Deviation (MAD)3.1068513 × 1010
Skewness3.1787797
Sum2.7825793 × 1013
Variance9.0433738 × 1022
MonotonicityNot monotonic
2025-11-07T11:08:31.374921image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1050992593 1
 
0.5%
2.069287655 × 10111
 
0.5%
1.252091529 × 10101
 
0.5%
1.292814512 × 10101
 
0.5%
4.481204289 × 10111
 
0.5%
3.21 × 10101
 
0.5%
1.022078107 × 10101
 
0.5%
4.033363636 × 10111
 
0.5%
7.698309493 × 10101
 
0.5%
3.044 × 10111
 
0.5%
Other values (163) 163
83.6%
(Missing) 22
 
11.3%
ValueCountFrequency (%)
850655017 1
0.5%
917058851 1
0.5%
1050992593 1
0.5%
1185728677 1
0.5%
1228170370 1
0.5%
1340389411 1
0.5%
1425074226 1
0.5%
1637931034 1
0.5%
1673540300 1
0.5%
1698843063 1
0.5%
ValueCountFrequency (%)
1.73642563 × 10121
0.5%
1.699876579 × 10121
0.5%
1.394116311 × 10121
0.5%
1.392680589 × 10121
0.5%
1.258286717 × 10121
0.5%
1.119190781 × 10121
0.5%
9.090703952 × 10111
0.5%
7.929668382 × 10111
0.5%
7.544117082 × 10111
0.5%
7.030824354 × 10111
0.5%

gross_primary_education_enrollment_pct
Real number (ℝ)

Missing 

Distinct141
Distinct (%)75.0%
Missing7
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean102.47021
Minimum23.4
Maximum142.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2025-11-07T11:08:31.421813image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum23.4
5-th percentile81.435
Q198.95
median102.55
Q3108.025
95-th percentile121.225
Maximum142.5
Range119.1
Interquartile range (IQR)9.075

Descriptive statistics

Standard deviation13.151607
Coefficient of variation (CV)0.12834566
Kurtosis7.9673298
Mean102.47021
Median Absolute Deviation (MAD)4.4
Skewness-0.99505855
Sum19264.4
Variance172.96478
MonotonicityNot monotonic
2025-11-07T11:08:31.471631image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104 4
 
2.1%
100.9 4
 
2.1%
99.4 3
 
1.5%
97.2 3
 
1.5%
101.9 3
 
1.5%
100.2 3
 
1.5%
99.8 3
 
1.5%
106.2 3
 
1.5%
103.2 3
 
1.5%
100 3
 
1.5%
Other values (131) 156
80.0%
(Missing) 7
 
3.6%
ValueCountFrequency (%)
23.4 1
0.5%
61.8 1
0.5%
68.4 1
0.5%
73 1
0.5%
74.7 1
0.5%
75.3 1
0.5%
75.6 1
0.5%
76.8 1
0.5%
81 1
0.5%
81.4 1
0.5%
ValueCountFrequency (%)
142.5 2
1.0%
142.1 1
0.5%
139.9 1
0.5%
133 1
0.5%
126.6 1
0.5%
124.2 1
0.5%
123.8 1
0.5%
122 1
0.5%
121.4 1
0.5%
120.9 1
0.5%

gross_tertiary_education_enrollment_pct
Real number (ℝ)

High correlation  Missing 

Distinct171
Distinct (%)93.4%
Missing12
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean37.963388
Minimum0.8
Maximum136.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2025-11-07T11:08:31.518470image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum0.8
5-th percentile3.31
Q112.15
median31.2
Q363.15
95-th percentile88.03
Maximum136.6
Range135.8
Interquartile range (IQR)51

Descriptive statistics

Standard deviation29.261022
Coefficient of variation (CV)0.7707695
Kurtosis-0.50339609
Mean37.963388
Median Absolute Deviation (MAD)22.9
Skewness0.6239842
Sum6947.3
Variance856.20739
MonotonicityNot monotonic
2025-11-07T11:08:31.568969image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.2 3
 
1.5%
88.2 2
 
1.0%
12.8 2
 
1.0%
63.9 2
 
1.0%
14.1 2
 
1.0%
9 2
 
1.0%
23.7 2
 
1.0%
11.6 2
 
1.0%
65.6 2
 
1.0%
9.3 2
 
1.0%
Other values (161) 162
83.1%
(Missing) 12
 
6.2%
ValueCountFrequency (%)
0.8 1
0.5%
1.1 1
0.5%
1.8 1
0.5%
1.9 1
0.5%
2 1
0.5%
2.5 1
0.5%
2.6 1
0.5%
2.7 1
0.5%
3 1
0.5%
3.3 1
0.5%
ValueCountFrequency (%)
136.6 1
0.5%
113.1 1
0.5%
104.6 1
0.5%
94.3 1
0.5%
90 1
0.5%
88.9 1
0.5%
88.5 1
0.5%
88.2 2
1.0%
88.1 1
0.5%
87.4 1
0.5%

infant_mortality
Real number (ℝ)

High correlation  Missing 

Distinct127
Distinct (%)75.1%
Missing26
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean19.537278
Minimum2.3
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2025-11-07T11:08:31.615893image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum2.3
5-th percentile2.78
Q16.2
median14
Q330
95-th percentile51.42
Maximum62
Range59.7
Interquartile range (IQR)23.8

Descriptive statistics

Standard deviation15.84045
Coefficient of variation (CV)0.81078079
Kurtosis-0.21445766
Mean19.537278
Median Absolute Deviation (MAD)9.7
Skewness0.90756643
Sum3301.8
Variance250.91985
MonotonicityNot monotonic
2025-11-07T11:08:31.659562image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.6 4
 
2.1%
3.1 4
 
2.1%
6.1 4
 
2.1%
3.3 3
 
1.5%
6.4 3
 
1.5%
2.6 3
 
1.5%
12.4 3
 
1.5%
9.8 3
 
1.5%
2.7 3
 
1.5%
13.6 3
 
1.5%
Other values (117) 136
69.7%
(Missing) 26
 
13.3%
ValueCountFrequency (%)
2.3 2
1.0%
2.5 1
 
0.5%
2.6 3
1.5%
2.7 3
1.5%
2.9 2
1.0%
3 1
 
0.5%
3.1 4
2.1%
3.3 3
1.5%
3.4 1
 
0.5%
3.6 4
2.1%
ValueCountFrequency (%)
62 1
0.5%
60.5 1
0.5%
59.4 1
0.5%
57.2 1
0.5%
54 2
1.0%
53.5 1
0.5%
51.6 1
0.5%
51.5 1
0.5%
51.3 1
0.5%
50.6 1
0.5%

largest_city
Text

Missing 

Distinct188
Distinct (%)99.5%
Missing6
Missing (%)3.1%
Memory size11.3 KiB
2025-11-07T11:08:31.739562image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Length

Max length23
Median length19
Mean length8.2804233
Min length4

Characters and Unicode

Total characters1565
Distinct characters56
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique187 ?
Unique (%)98.9%

Sample

1st rowKabul
2nd rowTirana
3rd rowAlgiers
4th rowAndorra la Vella
5th rowLuanda
ValueCountFrequency (%)
city 11
 
4.6%
san 3
 
1.3%
port 3
 
1.3%
st 2
 
0.8%
la 2
 
0.8%
s���� 2
 
0.8%
cotonou 1
 
0.4%
belize 1
 
0.4%
vella 1
 
0.4%
luanda 1
 
0.4%
Other values (211) 211
88.7%
2025-11-07T11:08:31.865282image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 222
 
14.2%
o 109
 
7.0%
i 108
 
6.9%
n 103
 
6.6%
e 86
 
5.5%
r 83
 
5.3%
u 64
 
4.1%
s 62
 
4.0%
t 58
 
3.7%
l 51
 
3.3%
Other values (46) 619
39.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1565
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 222
 
14.2%
o 109
 
7.0%
i 108
 
6.9%
n 103
 
6.6%
e 86
 
5.5%
r 83
 
5.3%
u 64
 
4.1%
s 62
 
4.0%
t 58
 
3.7%
l 51
 
3.3%
Other values (46) 619
39.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1565
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 222
 
14.2%
o 109
 
7.0%
i 108
 
6.9%
n 103
 
6.6%
e 86
 
5.5%
r 83
 
5.3%
u 64
 
4.1%
s 62
 
4.0%
t 58
 
3.7%
l 51
 
3.3%
Other values (46) 619
39.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1565
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 222
 
14.2%
o 109
 
7.0%
i 108
 
6.9%
n 103
 
6.6%
e 86
 
5.5%
r 83
 
5.3%
u 64
 
4.1%
s 62
 
4.0%
t 58
 
3.7%
l 51
 
3.3%
Other values (46) 619
39.6%

life_expectancy
Real number (ℝ)

High correlation  Missing 

Distinct117
Distinct (%)69.6%
Missing27
Missing (%)13.8%
Infinite0
Infinite (%)0.0%
Mean72.664286
Minimum58.9
Maximum82.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2025-11-07T11:08:31.913168image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum58.9
5-th percentile61.2
Q168.025
median73.3
Q377.125
95-th percentile81.9
Maximum82.7
Range23.8
Interquartile range (IQR)9.1

Descriptive statistics

Standard deviation6.2353568
Coefficient of variation (CV)0.085810475
Kurtosis-0.76562614
Mean72.664286
Median Absolute Deviation (MAD)4.15
Skewness-0.34780793
Sum12207.6
Variance38.879675
MonotonicityNot monotonic
2025-11-07T11:08:31.958547image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76.5 5
 
2.6%
61.2 4
 
2.1%
71.6 3
 
1.5%
76.8 3
 
1.5%
75.7 3
 
1.5%
74.4 3
 
1.5%
81.3 3
 
1.5%
72.8 3
 
1.5%
71.8 3
 
1.5%
63.8 2
 
1.0%
Other values (107) 136
69.7%
(Missing) 27
 
13.8%
ValueCountFrequency (%)
58.9 2
1.0%
60.2 1
 
0.5%
60.4 1
 
0.5%
60.8 2
1.0%
61.2 4
2.1%
61.5 1
 
0.5%
61.7 1
 
0.5%
62 1
 
0.5%
63 1
 
0.5%
63.4 1
 
0.5%
ValueCountFrequency (%)
82.7 2
1.0%
82.6 1
 
0.5%
82.5 2
1.0%
82.3 2
1.0%
82.1 1
 
0.5%
81.9 2
1.0%
81.8 1
 
0.5%
81.7 1
 
0.5%
81.6 2
1.0%
81.3 3
1.5%

maternal_mortality_ratio
Real number (ℝ)

High correlation  Missing 

Distinct104
Distinct (%)63.8%
Missing32
Missing (%)16.4%
Infinite0
Infinite (%)0.0%
Mean128.39877
Minimum4
Maximum638
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2025-11-07T11:08:32.002993image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5
Q117
median53
Q3171
95-th percentile522.5
Maximum638
Range634
Interquartile range (IQR)154

Descriptive statistics

Standard deviation161.45112
Coefficient of variation (CV)1.2574195
Kurtosis1.5300085
Mean128.39877
Median Absolute Deviation (MAD)45
Skewness1.5829739
Sum20929
Variance26066.463
MonotonicityNot monotonic
2025-11-07T11:08:32.049298image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 8
 
4.1%
19 6
 
3.1%
17 5
 
2.6%
8 5
 
2.6%
6 4
 
2.1%
10 4
 
2.1%
29 4
 
2.1%
4 4
 
2.1%
7 4
 
2.1%
9 3
 
1.5%
Other values (94) 116
59.5%
(Missing) 32
 
16.4%
ValueCountFrequency (%)
4 4
2.1%
5 8
4.1%
6 4
2.1%
7 4
2.1%
8 5
2.6%
9 3
 
1.5%
10 4
2.1%
11 1
 
0.5%
12 3
 
1.5%
13 1
 
0.5%
ValueCountFrequency (%)
638 1
0.5%
617 1
0.5%
597 1
0.5%
576 1
0.5%
562 1
0.5%
548 1
0.5%
544 1
0.5%
529 1
0.5%
524 1
0.5%
509 1
0.5%

minimum_wage
Real number (ℝ)

High correlation  Missing 

Distinct114
Distinct (%)76.0%
Missing45
Missing (%)23.1%
Infinite0
Infinite (%)0.0%
Mean2.1941333
Minimum0.01
Maximum13.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2025-11-07T11:08:32.095299image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.1435
Q10.4025
median1.045
Q32.4475
95-th percentile10.218
Maximum13.59
Range13.58
Interquartile range (IQR)2.045

Descriptive statistics

Standard deviation2.9707959
Coefficient of variation (CV)1.3539724
Kurtosis4.2430329
Mean2.1941333
Median Absolute Deviation (MAD)0.7
Skewness2.2020868
Sum329.12
Variance8.8256284
MonotonicityNot monotonic
2025-11-07T11:08:32.143125image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 3
 
1.5%
0.41 3
 
1.5%
0.34 2
 
1.0%
2.25 2
 
1.0%
0.53 2
 
1.0%
0.35 2
 
1.0%
1.12 2
 
1.0%
0.6 2
 
1.0%
0.25 2
 
1.0%
1.23 2
 
1.0%
Other values (104) 128
65.6%
(Missing) 45
 
23.1%
ValueCountFrequency (%)
0.01 2
1.0%
0.05 2
1.0%
0.09 2
1.0%
0.12 1
0.5%
0.13 1
0.5%
0.16 1
0.5%
0.17 1
0.5%
0.18 1
0.5%
0.21 1
0.5%
0.23 2
1.0%
ValueCountFrequency (%)
13.59 1
0.5%
13.05 1
0.5%
11.72 1
0.5%
11.49 1
0.5%
11.16 1
0.5%
10.79 1
0.5%
10.31 1
0.5%
10.29 1
0.5%
10.13 1
0.5%
9.99 1
0.5%

official_language
Text

Missing 

Distinct76
Distinct (%)40.0%
Missing5
Missing (%)2.6%
Memory size10.8 KiB
2025-11-07T11:08:32.226026image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Length

Max length22
Median length20
Mean length7.5210526
Min length3

Characters and Unicode

Total characters1429
Distinct characters46
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)31.1%

Sample

1st rowPashto
2nd rowAlbanian
3rd rowArabic
4th rowCatalan
5th rowPortuguese
ValueCountFrequency (%)
english 32
 
15.6%
french 25
 
12.2%
arabic 20
 
9.8%
spanish 19
 
9.3%
language 7
 
3.4%
portuguese 7
 
3.4%
german 4
 
2.0%
swahili 4
 
2.0%
russian 4
 
2.0%
italian 3
 
1.5%
Other values (69) 80
39.0%
2025-11-07T11:08:32.356026image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 160
 
11.2%
a 148
 
10.4%
i 143
 
10.0%
h 100
 
7.0%
e 95
 
6.6%
r 90
 
6.3%
s 88
 
6.2%
g 64
 
4.5%
l 62
 
4.3%
c 53
 
3.7%
Other values (36) 426
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1429
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 160
 
11.2%
a 148
 
10.4%
i 143
 
10.0%
h 100
 
7.0%
e 95
 
6.6%
r 90
 
6.3%
s 88
 
6.2%
g 64
 
4.5%
l 62
 
4.3%
c 53
 
3.7%
Other values (36) 426
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1429
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 160
 
11.2%
a 148
 
10.4%
i 143
 
10.0%
h 100
 
7.0%
e 95
 
6.6%
r 90
 
6.3%
s 88
 
6.2%
g 64
 
4.5%
l 62
 
4.3%
c 53
 
3.7%
Other values (36) 426
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1429
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 160
 
11.2%
a 148
 
10.4%
i 143
 
10.0%
h 100
 
7.0%
e 95
 
6.6%
r 90
 
6.3%
s 88
 
6.2%
g 64
 
4.5%
l 62
 
4.3%
c 53
 
3.7%
Other values (36) 426
29.8%

out_of_pocket_health_expenditure
Real number (ℝ)

Missing 

Distinct160
Distinct (%)85.1%
Missing7
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean32.637234
Minimum0.2
Maximum81.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2025-11-07T11:08:32.408233image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile6.27
Q117.45
median30.7
Q343.975
95-th percentile71.555
Maximum81.6
Range81.4
Interquartile range (IQR)26.525

Descriptive statistics

Standard deviation19.172697
Coefficient of variation (CV)0.58744857
Kurtosis-0.32333033
Mean32.637234
Median Absolute Deviation (MAD)13.35
Skewness0.56707018
Sum6135.8
Variance367.5923
MonotonicityNot monotonic
2025-11-07T11:08:32.457247image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.5 3
 
1.5%
15.2 3
 
1.5%
36.7 3
 
1.5%
36 2
 
1.0%
22.8 2
 
1.0%
6.8 2
 
1.0%
43.7 2
 
1.0%
12.5 2
 
1.0%
14.8 2
 
1.0%
18.3 2
 
1.0%
Other values (150) 165
84.6%
(Missing) 7
 
3.6%
ValueCountFrequency (%)
0.2 1
0.5%
0.7 1
0.5%
2.5 2
1.0%
3.3 1
0.5%
5.3 1
0.5%
5.8 1
0.5%
6 1
0.5%
6.1 1
0.5%
6.2 1
0.5%
6.4 1
0.5%
ValueCountFrequency (%)
81.6 1
0.5%
81 1
0.5%
78.6 1
0.5%
78.4 1
0.5%
76.5 1
0.5%
74.8 1
0.5%
73.9 1
0.5%
72.2 1
0.5%
72 1
0.5%
71.8 1
0.5%

physicians_per_thousand
Real number (ℝ)

High correlation  Missing 

Distinct136
Distinct (%)81.0%
Missing27
Missing (%)13.8%
Infinite0
Infinite (%)0.0%
Mean1.6960119
Minimum0.07
Maximum4.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2025-11-07T11:08:32.505989image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile0.08
Q10.395
median1.46
Q32.7725
95-th percentile4.0625
Maximum4.62
Range4.55
Interquartile range (IQR)2.3775

Descriptive statistics

Standard deviation1.3534131
Coefficient of variation (CV)0.79799743
Kurtosis-1.0574798
Mean1.6960119
Median Absolute Deviation (MAD)1.14
Skewness0.44917771
Sum284.93
Variance1.8317271
MonotonicityNot monotonic
2025-11-07T11:08:32.552635image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.08 6
 
3.1%
0.07 4
 
2.1%
2.61 3
 
1.5%
0.17 3
 
1.5%
0.13 3
 
1.5%
0.42 3
 
1.5%
2.53 2
 
1.0%
0.98 2
 
1.0%
0.23 2
 
1.0%
0.1 2
 
1.0%
Other values (126) 138
70.8%
(Missing) 27
 
13.8%
ValueCountFrequency (%)
0.07 4
2.1%
0.08 6
3.1%
0.09 1
 
0.5%
0.1 2
 
1.0%
0.12 1
 
0.5%
0.13 3
1.5%
0.14 1
 
0.5%
0.16 1
 
0.5%
0.17 3
1.5%
0.18 2
 
1.0%
ValueCountFrequency (%)
4.62 1
0.5%
4.56 1
0.5%
4.48 1
0.5%
4.4 1
0.5%
4.3 1
0.5%
4.25 1
0.5%
4.17 1
0.5%
4.12 1
0.5%
4.08 1
0.5%
4.03 1
0.5%

population
Real number (ℝ)

High correlation  Missing 

Distinct174
Distinct (%)100.0%
Missing21
Missing (%)10.8%
Infinite0
Infinite (%)0.0%
Mean18442732
Minimum77142
Maximum1.2601402 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2025-11-07T11:08:32.599656image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum77142
5-th percentile195605.4
Q12384412
median8826588
Q325703948
95-th percentile74276495
Maximum1.2601402 × 108
Range1.2593688 × 108
Interquartile range (IQR)23319536

Descriptive statistics

Standard deviation24751964
Coefficient of variation (CV)1.3420986
Kurtosis4.4870778
Mean18442732
Median Absolute Deviation (MAD)7755394
Skewness2.1096225
Sum3.2090353 × 109
Variance6.1265974 × 1014
MonotonicityNot monotonic
2025-11-07T11:08:32.649583image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38041754 1
 
0.5%
28608710 1
 
0.5%
4841000 1
 
0.5%
6545502 1
 
0.5%
23310715 1
 
0.5%
25666161 1
 
0.5%
1836713 1
 
0.5%
5347896 1
 
0.5%
5266535 1
 
0.5%
4246439 1
 
0.5%
Other values (164) 164
84.1%
(Missing) 21
 
10.8%
ValueCountFrequency (%)
77142 1
0.5%
97118 1
0.5%
97625 1
0.5%
100209 1
0.5%
100455 1
0.5%
112003 1
0.5%
113815 1
0.5%
117606 1
0.5%
182790 1
0.5%
202506 1
0.5%
ValueCountFrequency (%)
126014024 1
0.5%
112078730 1
0.5%
108116615 1
0.5%
100388073 1
0.5%
96462106 1
0.5%
86790567 1
0.5%
83429615 1
0.5%
83132799 1
0.5%
82913906 1
0.5%
69625582 1
0.5%
Distinct145
Distinct (%)82.4%
Missing19
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean62.738068
Minimum38
Maximum86.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2025-11-07T11:08:32.696217image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile44.55
Q156.15
median62.45
Q369.5
95-th percentile80.825
Maximum86.8
Range48.8
Interquartile range (IQR)13.35

Descriptive statistics

Standard deviation10.502907
Coefficient of variation (CV)0.16740884
Kurtosis-0.30696739
Mean62.738068
Median Absolute Deviation (MAD)6.5
Skewness-0.015166251
Sum11041.9
Variance110.31106
MonotonicityNot monotonic
2025-11-07T11:08:32.742353image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68.8 3
 
1.5%
65.1 3
 
1.5%
72 3
 
1.5%
68 2
 
1.0%
83.8 2
 
1.0%
64 2
 
1.0%
69.9 2
 
1.0%
72.4 2
 
1.0%
56.5 2
 
1.0%
66.4 2
 
1.0%
Other values (135) 153
78.5%
(Missing) 19
 
9.7%
ValueCountFrequency (%)
38 1
0.5%
39.3 1
0.5%
41.2 1
0.5%
42 1
0.5%
43 1
0.5%
43.1 1
0.5%
43.3 1
0.5%
43.7 1
0.5%
44.1 1
0.5%
44.7 1
0.5%
ValueCountFrequency (%)
86.8 1
0.5%
86.1 1
0.5%
83.8 2
1.0%
83.7 1
0.5%
83.4 1
0.5%
83.1 1
0.5%
82.3 1
0.5%
82.1 1
0.5%
80.4 1
0.5%
79.6 1
0.5%

tax_revenue_pct
Real number (ℝ)

Missing  Zeros 

Distinct119
Distinct (%)70.4%
Missing26
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean16.573964
Minimum0
Maximum37.2
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2025-11-07T11:08:32.787113image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.68
Q111.7
median16.3
Q321.1
95-th percentile27.5
Maximum37.2
Range37.2
Interquartile range (IQR)9.4

Descriptive statistics

Standard deviation6.9616319
Coefficient of variation (CV)0.4200342
Kurtosis0.069888871
Mean16.573964
Median Absolute Deviation (MAD)4.6
Skewness0.09170559
Sum2801
Variance48.464318
MonotonicityNot monotonic
2025-11-07T11:08:32.836331image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.5 4
 
2.1%
13.6 3
 
1.5%
23 3
 
1.5%
20.1 3
 
1.5%
18.6 3
 
1.5%
14.2 3
 
1.5%
10.2 3
 
1.5%
17.3 2
 
1.0%
11.8 2
 
1.0%
24.2 2
 
1.0%
Other values (109) 141
72.3%
(Missing) 26
 
13.3%
ValueCountFrequency (%)
0 2
1.0%
0.1 1
0.5%
1.4 1
0.5%
1.5 1
0.5%
2 1
0.5%
2.5 1
0.5%
4.2 1
0.5%
5.4 1
0.5%
6.1 1
0.5%
7.4 1
0.5%
ValueCountFrequency (%)
37.2 1
0.5%
34.1 1
0.5%
32.4 1
0.5%
31.6 1
0.5%
29.5 1
0.5%
29 1
0.5%
28.6 1
0.5%
27.9 1
0.5%
27.5 2
1.0%
27.1 1
0.5%

total_tax_rate
Real number (ℝ)

Missing 

Distinct156
Distinct (%)85.2%
Missing12
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean40.822404
Minimum8
Maximum219.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2025-11-07T11:08:32.883744image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile16.04
Q130.6
median37.2
Q348
95-th percentile71.01
Maximum219.6
Range211.6
Interquartile range (IQR)17.4

Descriptive statistics

Standard deviation20.557662
Coefficient of variation (CV)0.50358773
Kurtosis30.931631
Mean40.822404
Median Absolute Deviation (MAD)8.9
Skewness3.9446638
Sum7470.5
Variance422.61746
MonotonicityNot monotonic
2025-11-07T11:08:32.929280image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.6 4
 
2.1%
49.7 3
 
1.5%
55.4 2
 
1.0%
36.2 2
 
1.0%
30.6 2
 
1.0%
42.7 2
 
1.0%
41.2 2
 
1.0%
30.1 2
 
1.0%
37 2
 
1.0%
83.7 2
 
1.0%
Other values (146) 160
82.1%
(Missing) 12
 
6.2%
ValueCountFrequency (%)
8 1
0.5%
8.5 1
0.5%
9.9 1
0.5%
11.3 1
0.5%
13 1
0.5%
13.6 1
0.5%
13.8 1
0.5%
15.6 1
0.5%
15.7 1
0.5%
15.9 1
0.5%
ValueCountFrequency (%)
219.6 1
0.5%
106.3 1
0.5%
83.7 2
1.0%
79.4 1
0.5%
76.6 1
0.5%
73.3 2
1.0%
71.4 1
0.5%
71.2 1
0.5%
69.3 1
0.5%
67.3 1
0.5%

unemployment_rate
Real number (ℝ)

Missing 

Distinct164
Distinct (%)93.2%
Missing19
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean6.8863636
Minimum0.09
Maximum28.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2025-11-07T11:08:32.973068image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum0.09
5-th percentile1.3375
Q13.395
median5.36
Q39.49
95-th percentile17.4775
Maximum28.18
Range28.09
Interquartile range (IQR)6.095

Descriptive statistics

Standard deviation5.0792164
Coefficient of variation (CV)0.73757598
Kurtosis1.8803977
Mean6.8863636
Median Absolute Deviation (MAD)2.655
Skewness1.3569113
Sum1212
Variance25.798439
MonotonicityNot monotonic
2025-11-07T11:08:33.018802image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.59 3
 
1.5%
6.33 2
 
1.0%
11.85 2
 
1.0%
4.34 2
 
1.0%
2.46 2
 
1.0%
5.56 2
 
1.0%
5.36 2
 
1.0%
3.32 2
 
1.0%
3.47 2
 
1.0%
4.11 2
 
1.0%
Other values (154) 155
79.5%
(Missing) 19
 
9.7%
ValueCountFrequency (%)
0.09 1
0.5%
0.47 1
0.5%
0.58 1
0.5%
0.63 1
0.5%
0.68 1
0.5%
0.71 1
0.5%
0.75 1
0.5%
1.03 1
0.5%
1.12 1
0.5%
1.41 1
0.5%
ValueCountFrequency (%)
28.18 1
0.5%
23.41 1
0.5%
20.71 1
0.5%
20.27 1
0.5%
20 1
0.5%
18.88 1
0.5%
18.56 1
0.5%
18.42 1
0.5%
18.19 1
0.5%
17.24 1
0.5%

urban_population
Real number (ℝ)

High correlation  Missing 

Distinct170
Distinct (%)100.0%
Missing25
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean10643736
Minimum38964
Maximum64324835
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2025-11-07T11:08:33.066276image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum38964
5-th percentile82127.55
Q11485626
median4678103.5
Q311110560
95-th percentile42406605
Maximum64324835
Range64285871
Interquartile range (IQR)9624933.8

Descriptive statistics

Standard deviation14582607
Coefficient of variation (CV)1.3700647
Kurtosis3.5862721
Mean10643736
Median Absolute Deviation (MAD)3927857
Skewness2.0194955
Sum1.8094351 × 109
Variance2.1265243 × 1014
MonotonicityNot monotonic
2025-11-07T11:08:33.111222image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9797273 1
 
0.5%
4250777 1
 
0.5%
1273258 1
 
0.5%
5765513 1
 
0.5%
15924729 1
 
0.5%
4258860 1
 
0.5%
3846137 1
 
0.5%
3850231 1
 
0.5%
15947412 1
 
0.5%
4418218 1
 
0.5%
Other values (160) 160
82.1%
(Missing) 25
 
12.8%
ValueCountFrequency (%)
38964 1
0.5%
40765 1
0.5%
45514 1
0.5%
50830 1
0.5%
55762 1
0.5%
58185 1
0.5%
64489 1
0.5%
67873 1
0.5%
76152 1
0.5%
89431 1
0.5%
ValueCountFrequency (%)
64324835 1
0.5%
63097818 1
0.5%
62509623 1
0.5%
60987417 1
0.5%
55908316 1
0.5%
54123364 1
0.5%
50975903 1
0.5%
42895824 1
0.5%
42651966 1
0.5%
42106719 1
0.5%

latitude
Real number (ℝ)

High correlation 

Distinct194
Distinct (%)100.0%
Missing1
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean19.092351
Minimum-40.900557
Maximum64.963051
Zeros0
Zeros (%)0.0%
Negative41
Negative (%)21.0%
Memory size1.7 KiB
2025-11-07T11:08:33.156580image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum-40.900557
5-th percentile-22.548682
Q14.5441747
median17.273849
Q340.124603
95-th percentile55.242453
Maximum64.963051
Range105.86361
Interquartile range (IQR)35.580429

Descriptive statistics

Standard deviation23.961779
Coefficient of variation (CV)1.255046
Kurtosis-0.61350317
Mean19.092351
Median Absolute Deviation (MAD)18.070331
Skewness-0.25709386
Sum3703.9162
Variance574.16688
MonotonicityNot monotonic
2025-11-07T11:08:33.204715image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.93911 1
 
0.5%
13.909444 1
 
0.5%
12.865416 1
 
0.5%
17.607789 1
 
0.5%
9.081999 1
 
0.5%
40.339852 1
 
0.5%
41.608635 1
 
0.5%
60.472024 1
 
0.5%
21.4735329 1
 
0.5%
30.375321 1
 
0.5%
Other values (184) 184
94.4%
ValueCountFrequency (%)
-40.900557 1
0.5%
-38.416097 1
0.5%
-35.675147 1
0.5%
-32.522779 1
0.5%
-30.559482 1
0.5%
-29.609988 1
0.5%
-26.522503 1
0.5%
-25.274398 1
0.5%
-23.442503 1
0.5%
-22.95764 1
0.5%
ValueCountFrequency (%)
64.963051 1
0.5%
61.92411 1
0.5%
61.52401 1
0.5%
60.472024 1
0.5%
60.128161 1
0.5%
58.595272 1
0.5%
56.879635 1
0.5%
56.26392 1
0.5%
56.130366 1
0.5%
55.378051 1
0.5%

longitude
Real number (ℝ)

Distinct194
Distinct (%)100.0%
Missing1
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean20.232434
Minimum-175.19824
Maximum178.06503
Zeros0
Zeros (%)0.0%
Negative56
Negative (%)28.7%
Memory size1.7 KiB
2025-11-07T11:08:33.249857image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Quantile statistics

Minimum-175.19824
5-th percentile-85.569366
Q1-7.9414955
median20.972652
Q348.281523
95-th percentile135.86716
Maximum178.06503
Range353.26327
Interquartile range (IQR)56.223018

Descriptive statistics

Standard deviation66.71611
Coefficient of variation (CV)3.2974831
Kurtosis0.406904
Mean20.232434
Median Absolute Deviation (MAD)28.631189
Skewness-0.056581627
Sum3925.0923
Variance4451.0394
MonotonicityNot monotonic
2025-11-07T11:08:33.298934image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67.709953 1
 
0.5%
-60.978893 1
 
0.5%
-85.207229 1
 
0.5%
8.081666 1
 
0.5%
8.675277 1
 
0.5%
127.510093 1
 
0.5%
21.745275 1
 
0.5%
8.468946 1
 
0.5%
55.975413 1
 
0.5%
69.345116 1
 
0.5%
Other values (184) 184
94.4%
ValueCountFrequency (%)
-175.198242 1
0.5%
-172.104629 1
0.5%
-157.3768317 1
0.5%
-106.346771 1
0.5%
-102.552784 1
0.5%
-95.712891 1
0.5%
-90.230759 1
0.5%
-88.89653 1
0.5%
-88.49765 1
0.5%
-86.241905 1
0.5%
ValueCountFrequency (%)
178.065032 1
0.5%
177.64933 1
0.5%
174.885971 1
0.5%
171.184478 1
0.5%
166.959158 1
0.5%
166.931503 1
0.5%
160.156194 1
0.5%
150.550812 1
0.5%
143.95555 1
0.5%
138.252924 1
0.5%

Interactions

2025-11-07T11:08:26.818043image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:54.787042image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:55.869911image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.095877image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:58.149676image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:59.426157image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:00.919717image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:02.137919image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:03.222213image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:04.460572image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:05.573485image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.772479image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.815477image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:09.298920image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:10.359646image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:11.463804image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.540980image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.557686image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:14.843540image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:15.911634image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:16.987009image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.244203image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.218686image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.266009image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:21.296277image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:22.768959image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.844224image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.825055image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.841898image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.854266image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:54.831050image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:55.909813image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.129597image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:58.198330image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:59.467650image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:00.957141image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:02.180911image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:03.257219image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:04.495154image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:05.614310image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.806418image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.853810image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:09.336018image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:10.395794image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:11.501576image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.576218image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.591396image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:14.878726image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:15.946309image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:17.037338image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.278299image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.257289image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.299422image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:21.334890image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:22.801803image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.878839image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.859185image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.876493image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.890105image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:54.870123image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:55.941439image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.163100image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:58.255203image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:59.663054image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:00.992753image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:02.225420image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:03.288873image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:04.527223image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:05.791839image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.837693image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.888130image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:09.371748image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:10.430588image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:11.536457image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.610436image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.622075image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:14.912856image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:15.984166image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:17.093576image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.313929image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.295639image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.336220image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:21.367774image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:22.835921image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.912728image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.893057image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.907941image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.923156image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:54.904687image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:55.972520image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.195342image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:58.305308image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:59.703661image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:01.029584image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:02.266694image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:03.318852image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:04.560370image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:05.841859image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.870310image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.924439image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:09.406089image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:10.464273image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:11.577345image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.643186image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.654048image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:14.946594image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:16.017153image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:17.141226image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.345999image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.329692image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.369180image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:21.400835image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:22.867180image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.943413image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.926148image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.938977image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.959982image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:54.944473image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:56.008004image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.229770image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:58.346937image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:59.746075image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:01.066610image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:02.302650image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:03.353903image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:04.596988image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:05.882561image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.904978image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.963074image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:09.443601image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:10.504331image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:11.616765image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.678695image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.687034image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:14.982063image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:16.052636image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:17.190941image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.379559image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.368800image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.404545image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:21.437603image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:22.900685image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.978635image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.961579image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.972445image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.996173image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:54.979409image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:56.042258image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.261210image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:58.390360image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:59.780062image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:01.101703image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:02.347730image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:03.384867image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:04.638019image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:05.915978image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.937484image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.999491image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:09.479612image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:10.542170image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:11.651044image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.711829image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.719780image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:15.016611image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:16.088623image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:17.234727image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.412774image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.403874image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.437718image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:21.471738image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.043752image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.011072image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.995233image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.005004image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:27.032512image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:55.017346image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:56.079640image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.299435image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:58.435808image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:59.817561image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:01.139551image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:02.390214image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:03.418687image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:04.687302image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:05.956761image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.974277image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:08.037604image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:09.517746image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:10.579966image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:11.691179image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.748274image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.752655image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:15.053493image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:16.124769image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:17.282061image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.446005image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.440582image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.474567image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:21.508299image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.079102image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.045170image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.032243image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.039903image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:27.067383image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:55.052771image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:56.115123image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.331706image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:58.471444image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:59.850901image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:01.179854image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:02.422430image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:03.450296image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:04.731035image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:05.990915image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.008724image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:08.075379image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:09.556397image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:10.616128image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:11.727424image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.783915image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.783501image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:15.088697image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:16.159414image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:17.322285image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.478016image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.479030image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.507780image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:21.992511image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.111003image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.079513image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.069958image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.073128image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:27.100370image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:55.086215image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:56.148057image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.361958image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:58.507023image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:00.144127image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:01.214550image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:02.455572image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:03.479011image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:04.774515image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.026054image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.040944image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:08.110411image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:09.589436image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:10.652694image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:11.763983image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.816421image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.814080image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:15.122269image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:16.192355image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:17.361820image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.508813image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.511381image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.541057image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:22.027606image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.141299image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.109738image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.101715image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.102868image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:27.135382image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:55.121305image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:56.180971image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.395239image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:58.545600image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:00.176850image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:01.250127image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:02.491966image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:03.511157image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:04.829090image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.073541image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.074160image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:08.146366image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:09.625159image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:10.689226image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:11.801094image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.850748image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.845275image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:15.156270image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:16.226287image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:17.402661image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.539284image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.544534image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.575671image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:22.061794image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.174282image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.142696image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.135981image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.135049image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:27.171513image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:55.157027image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:56.215053image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.428661image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:58.579470image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:00.211780image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:01.288282image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:02.525208image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:03.543344image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:04.882882image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.105590image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.109090image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:08.182850image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:09.661079image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:10.726363image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:11.836884image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.884803image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.878659image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:15.191135image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:16.260987image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:17.471802image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.571178image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.580673image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.609259image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:22.096606image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.206478image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.177483image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.169628image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.168147image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:27.204906image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:55.193590image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:56.247403image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.461590image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:58.616053image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:00.244501image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:01.324042image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:02.563178image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:03.575540image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:04.925986image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.139280image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.140878image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:08.220400image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:09.697194image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:10.764891image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:11.872972image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.919995image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.910751image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:15.226463image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:16.294323image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:17.519748image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.604835image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.616564image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.641255image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:22.129978image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.237555image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.211938image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.203761image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.201220image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:27.243445image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:55.235549image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:56.499541image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.507411image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:58.653812image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:00.285026image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:01.362873image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:02.605107image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:03.610770image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:04.983214image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.176197image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.177683image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:08.261468image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:09.733606image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:10.808821image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:11.913769image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.959742image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.945532image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:15.264460image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:16.332229image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:17.575287image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.638437image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.654148image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.681747image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:22.167336image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.272549image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.247192image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.242254image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.238321image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:27.280488image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:55.274969image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:56.536080image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.544631image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:58.690125image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:00.319874image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:01.399597image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:02.643405image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:03.643696image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:05.019814image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.213006image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.214411image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:08.298873image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:09.772442image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:10.867840image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:11.951096image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.998355image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.978606image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:15.300905image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:16.368060image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:17.620233image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.672716image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.690632image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.717509image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:22.205308image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.308109image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.282635image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.279679image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.273961image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:27.319641image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:55.314934image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:56.571056image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.582653image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:58.725596image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:00.356908image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:01.441419image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:02.682054image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:03.678180image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:05.057080image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.252445image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.250583image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:08.338925image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:09.811297image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:10.906013image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:11.988158image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.034702image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:14.014146image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:15.339615image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:16.406302image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:17.671862image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.707802image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.727306image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.752382image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:22.242132image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.345623image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.318523image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.316566image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.309060image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:27.357393image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:55.364008image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:56.605617image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.622773image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:58.766597image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:00.390803image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:01.479848image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:02.719089image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:03.715952image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:05.093323image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.290412image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.286265image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:08.378521image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:09.849659image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:10.943191image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.027866image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.073192image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:14.048723image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:15.374615image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:16.443231image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:17.715948image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.740304image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.763977image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.791598image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:22.279554image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.380481image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.354632image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.353038image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.346474image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:27.391082image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:55.401365image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:56.641086image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.655625image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:58.800961image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:00.424104image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:01.515437image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:02.753915image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:03.750651image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:05.126888image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.324028image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.320944image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:08.415154image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:09.884916image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:10.980998image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.063618image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.107719image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:14.079922image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:15.440228image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:16.480681image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:17.755162image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.773761image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.798898image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.827444image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:22.314620image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.414259image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.389402image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.386666image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.378885image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:27.423878image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:55.436525image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:56.671232image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.686428image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:58.835880image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:00.455431image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:01.549607image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:02.791847image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:03.782360image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:05.157825image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.356159image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.353401image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:08.451250image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:09.919747image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:11.018637image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.099420image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.140417image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:14.109869image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:15.492381image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:16.514297image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:17.790444image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.803990image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.832036image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.862674image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:22.347257image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.444124image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.420728image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.420599image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.409918image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:27.458194image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:55.471401image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:56.707177image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.720791image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:58.874629image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:00.505820image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:01.619038image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:02.827742image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:03.816684image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:05.191664image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.396580image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.387913image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:08.490527image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:09.956463image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:11.056651image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.134729image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.176159image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:14.141595image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:15.526372image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:16.547968image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:17.827968image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.836754image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.868091image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.919360image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:22.383241image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.484640image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.454102image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.454504image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.447672image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:27.494205image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:55.509144image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:56.745397image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.753420image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:58.926735image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:00.547773image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:01.682630image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:02.864873image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:04.132779image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:05.226173image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.431512image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.422534image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:08.527242image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:09.994808image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:11.095508image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.172887image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.211851image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:14.174589image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:15.562393image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:16.585406image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:17.866007image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.870345image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.902328image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.953958image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:22.419365image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.517502image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.488200image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.488692image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.481098image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:27.532261image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:55.546660image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:56.783187image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.791709image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:58.984209image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:00.588749image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:01.749003image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:02.902504image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:04.167105image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:05.266144image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.468195image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.458493image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:08.568196image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:10.031814image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:11.136114image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.212508image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.249385image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:14.208860image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:15.599583image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:16.625995image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:17.904188image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.911060image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.940181image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.991605image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:22.457603image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.554079image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.525927image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.528718image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.518172image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:27.565544image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:55.580884image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:56.819617image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.822642image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:59.041473image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:00.620516image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:01.802473image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:02.937545image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:04.202114image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:05.298994image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.502649image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.490868image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:08.604660image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:10.067414image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:11.172196image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.247633image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.281809image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:14.239395image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:15.633499image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:16.659263image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:17.941016image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.947590image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.974525image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:21.025459image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:22.490695image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.586619image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.556489image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.561994image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.549941image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:27.599403image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:55.616800image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:56.856397image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.856397image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:59.105174image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:00.654711image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:01.843145image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:02.973870image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:04.235435image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:05.333635image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.537606image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.523759image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:08.642714image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:10.103198image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:11.209039image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.284767image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.316874image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:14.272413image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:15.669345image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:16.693938image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:17.979593image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.984078image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.019139image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:21.059462image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:22.527655image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.620309image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.591353image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.595366image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.583774image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:27.638118image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:55.659392image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:56.891560image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.889107image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:59.151397image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:00.692716image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:01.879314image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:03.011779image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:04.266731image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:05.367311image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.570688image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.557532image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:08.680107image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:10.139342image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:11.244570image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.322950image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.349977image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:14.304044image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:15.702587image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:16.732894image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.015856image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.017776image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.054204image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:21.093171image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:22.561174image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.651926image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.623865image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.634286image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.616748image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:27.676003image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:55.695443image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:56.927228image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.922220image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:59.202875image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:00.726683image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:01.914907image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:03.048788image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:04.302686image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:05.401559image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.605883image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.590673image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:09.110769image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:10.178296image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:11.283760image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.360253image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.384728image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:14.335923image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:15.738882image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:16.774701image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.054800image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.052749image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.089615image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:21.128960image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:22.595961image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.686454image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.658579image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.669791image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.650122image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:27.710666image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:55.729461image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:56.958968image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.954803image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:59.246004image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:00.760427image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:01.951627image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:03.080080image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:04.333248image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:05.433776image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.637862image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.622685image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:09.145389image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:10.213203image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:11.320740image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.394990image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.419100image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:14.368437image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:15.772367image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:16.814620image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.089502image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.086409image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.123071image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:21.161763image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:22.630347image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.716253image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.692114image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.703046image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.682883image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:27.745931image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:55.764351image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:56.992218image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.985770image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:59.287633image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:00.794275image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:01.993444image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:03.115520image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:04.364050image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:05.467126image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.669997image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.664589image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:09.185414image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:10.248859image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:11.356468image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.430830image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.452236image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:14.746826image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:15.807344image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:16.852550image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.129382image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.118562image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.157151image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:21.194289image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:22.662163image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.747990image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.724360image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.737956image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.715933image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:27.781097image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:55.800129image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.028115image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:58.021439image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:59.342510image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:00.828922image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:02.036710image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:03.153717image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:04.396203image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:05.502752image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.703009image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.698837image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:09.225931image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:10.285801image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:11.391852image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.468846image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.486784image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:14.777334image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:15.843732image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:16.892809image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.168337image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.154133image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.194243image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:21.229444image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:22.698585image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.782065image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.757965image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.775289image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.750726image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:27.813500image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:55.834733image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:57.060854image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:58.093931image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:07:59.385130image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:00.862300image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:02.092162image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:03.187908image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:04.428249image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:05.535553image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:06.740525image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:07.781118image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:09.262609image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:10.321567image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:11.426499image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:12.504180image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:13.523246image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:14.811208image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:15.878323image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:16.941859image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:18.206208image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:19.186852image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:20.228493image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:21.262876image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:22.733920image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:23.812624image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:24.789936image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:25.808003image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
2025-11-07T11:08:26.783374image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/

Correlations

2025-11-07T11:08:33.362005image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
agricultural_land_pctarmed_forces_sizebirth_ratecalling_codeco2_emissionscpicpi_change_pctdensity_p_km2fertility_rateforested_area_pctgasoline_pricegdpgross_primary_education_enrollment_pctgross_tertiary_education_enrollment_pctinfant_mortalityland_area_km2latitudelife_expectancylongitudematernal_mortality_ratiominimum_wageout_of_pocket_health_expenditurephysicians_per_thousandpopulationpopulation:_labor_force_participation_pcttax_revenue_pcttotal_tax_rateunemployment_rateurban_population
agricultural_land_pct1.0000.1720.145-0.0360.0740.2320.2330.1850.164-0.3820.0310.077-0.061-0.1320.1170.1530.005-0.158-0.0130.110-0.1910.111-0.0830.284-0.151-0.0720.1590.0560.203
armed_forces_size0.1721.000-0.075-0.2270.7050.0930.0570.105-0.119-0.204-0.1870.6410.0070.284-0.2110.5020.1620.1200.210-0.0820.1310.2160.0860.786-0.105-0.1790.162-0.0960.802
birth_rate0.145-0.0751.0000.195-0.3640.3870.255-0.1820.975-0.032-0.296-0.4000.131-0.7580.8530.284-0.562-0.8040.0660.806-0.5860.215-0.7920.1120.135-0.3430.1530.011-0.038
calling_code-0.036-0.2270.1951.000-0.2770.088-0.017-0.0770.165-0.085-0.143-0.282-0.069-0.2280.163-0.178-0.044-0.1630.3040.081-0.152-0.054-0.131-0.3170.0840.005-0.335-0.091-0.326
co2_emissions0.0740.705-0.364-0.2771.0000.0610.0480.016-0.408-0.194-0.2380.931-0.0380.544-0.4460.4710.3900.4300.128-0.4310.3070.0410.4490.652-0.190-0.1850.035-0.0500.777
cpi0.2320.0930.3870.0880.0611.0000.814-0.1560.372-0.089-0.3480.0020.099-0.2770.3560.357-0.272-0.3950.1560.373-0.4890.216-0.2490.2810.032-0.3310.1030.0570.177
cpi_change_pct0.2330.0570.255-0.0170.0480.8141.000-0.1440.216-0.033-0.1470.0280.043-0.1730.2200.276-0.103-0.2820.0340.225-0.3210.155-0.1710.177-0.048-0.2370.0960.1590.122
density_p_km20.1850.105-0.182-0.0770.016-0.156-0.1441.000-0.251-0.1510.1210.0250.0690.035-0.139-0.4490.1470.1180.026-0.1030.100-0.0210.051-0.021-0.1280.121-0.098-0.1590.001
fertility_rate0.164-0.1190.9750.165-0.4080.3720.216-0.2511.000-0.072-0.280-0.3650.051-0.7600.8420.303-0.579-0.8200.0380.807-0.6040.188-0.7880.1390.191-0.3910.171-0.071-0.027
forested_area_pct-0.382-0.204-0.032-0.085-0.194-0.089-0.033-0.151-0.0721.0000.176-0.1090.1150.009-0.002-0.165-0.182-0.010-0.0780.0550.064-0.186-0.072-0.1900.1600.0980.103-0.075-0.212
gasoline_price0.031-0.187-0.296-0.143-0.238-0.348-0.1470.121-0.2800.1761.000-0.116-0.0680.143-0.287-0.2490.1740.266-0.168-0.2410.368-0.3020.227-0.191-0.0740.4300.0510.043-0.170
gdp0.0770.641-0.400-0.2820.9310.0020.0280.025-0.365-0.109-0.1161.000-0.0410.539-0.4240.4010.2970.4590.066-0.4270.324-0.0600.4090.611-0.130-0.1120.033-0.1180.753
gross_primary_education_enrollment_pct-0.0610.0070.131-0.069-0.0380.0990.0430.0690.0510.115-0.068-0.0411.000-0.0730.125-0.051-0.198-0.086-0.0800.170-0.071-0.118-0.1900.0560.1650.0360.003-0.0750.066
gross_tertiary_education_enrollment_pct-0.1320.284-0.758-0.2280.544-0.277-0.1730.035-0.7600.0090.1430.539-0.0731.000-0.826-0.0720.5120.753-0.054-0.7890.615-0.1530.7830.047-0.1900.325-0.0340.1220.220
infant_mortality0.117-0.2110.8530.163-0.4460.3560.220-0.1390.842-0.002-0.287-0.4240.125-0.8261.0000.246-0.527-0.8920.0850.895-0.7190.274-0.8330.0580.199-0.3190.167-0.069-0.110
land_area_km20.1530.5020.284-0.1780.4710.3570.276-0.4490.303-0.165-0.2490.401-0.051-0.0720.2461.000-0.072-0.2630.1020.248-0.2260.237-0.1300.750-0.008-0.4150.2370.0050.667
latitude0.0050.162-0.562-0.0440.390-0.272-0.1030.147-0.579-0.1820.1740.297-0.1980.512-0.527-0.0721.0000.486-0.024-0.6150.3450.0920.6050.049-0.3190.116-0.0270.0450.108
life_expectancy-0.1580.120-0.804-0.1630.430-0.395-0.2820.118-0.820-0.0100.2660.459-0.0860.753-0.892-0.2630.4861.000-0.168-0.8560.732-0.2820.771-0.106-0.1760.367-0.1470.0480.071
longitude-0.0130.2100.0660.3040.1280.1560.0340.0260.038-0.078-0.1680.066-0.080-0.0540.0850.102-0.024-0.1681.000-0.005-0.1270.026-0.0400.1180.082-0.129-0.209-0.2240.038
maternal_mortality_ratio0.110-0.0820.8060.081-0.4310.3730.225-0.1030.8070.055-0.241-0.4270.170-0.7890.8950.248-0.615-0.856-0.0051.000-0.6880.256-0.8420.1520.258-0.3410.212-0.0570.004
minimum_wage-0.1910.131-0.586-0.1520.307-0.489-0.3210.100-0.6040.0640.3680.324-0.0710.615-0.719-0.2260.3450.732-0.127-0.6881.000-0.4300.641-0.113-0.2350.353-0.0900.1080.017
out_of_pocket_health_expenditure0.1110.2160.215-0.0540.0410.2160.155-0.0210.188-0.186-0.302-0.060-0.118-0.1530.2740.2370.092-0.2820.0260.256-0.4301.000-0.1840.235-0.140-0.3530.2440.0680.154
physicians_per_thousand-0.0830.086-0.792-0.1310.449-0.249-0.1710.051-0.788-0.0720.2270.409-0.1900.783-0.833-0.1300.6050.771-0.040-0.8420.641-0.1841.000-0.063-0.1820.282-0.1220.0700.072
population0.2840.7860.112-0.3170.6520.2810.177-0.0210.139-0.190-0.1910.6110.0560.0470.0580.7500.049-0.1060.1180.152-0.1130.235-0.0631.0000.000-0.3850.302-0.1610.941
population:_labor_force_participation_pct-0.151-0.1050.1350.084-0.1900.032-0.048-0.1280.1910.160-0.074-0.1300.165-0.1900.199-0.008-0.319-0.1760.0820.258-0.235-0.140-0.1820.0001.000-0.130-0.112-0.494-0.100
tax_revenue_pct-0.072-0.179-0.3430.005-0.185-0.331-0.2370.121-0.3910.0980.430-0.1120.0360.325-0.319-0.4150.1160.367-0.129-0.3410.353-0.3530.282-0.385-0.1301.000-0.1710.209-0.308
total_tax_rate0.1590.1620.153-0.3350.0350.1030.096-0.0980.1710.1030.0510.0330.003-0.0340.1670.237-0.027-0.147-0.2090.212-0.0900.244-0.1220.302-0.112-0.1711.0000.0260.248
unemployment_rate0.056-0.0960.011-0.091-0.0500.0570.159-0.159-0.071-0.0750.043-0.118-0.0750.122-0.0690.0050.0450.048-0.224-0.0570.1080.0680.070-0.161-0.4940.2090.0261.000-0.084
urban_population0.2030.802-0.038-0.3260.7770.1770.1220.001-0.027-0.212-0.1700.7530.0660.220-0.1100.6670.1080.0710.0380.0040.0170.1540.0720.941-0.100-0.3080.248-0.0841.000

Missing values

2025-11-07T11:08:27.891825image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
A simple visualization of nullity by column.
2025-11-07T11:08:28.008253image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-11-07T11:08:28.214479image/svg+xmlMatplotlib v3.10.6, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

countrydensity_p_km2abbreviationagricultural_land_pctland_area_km2armed_forces_sizebirth_ratecalling_codecapital_major_cityco2_emissionscpicpi_change_pctcurrency_codefertility_rateforested_area_pctgasoline_pricegdpgross_primary_education_enrollment_pctgross_tertiary_education_enrollment_pctinfant_mortalitylargest_citylife_expectancymaternal_mortality_ratiominimum_wageofficial_languageout_of_pocket_health_expenditurephysicians_per_thousandpopulationpopulation:_labor_force_participation_pcttax_revenue_pcttotal_tax_rateunemployment_rateurban_populationlatitudelongitude
0Afghanistan60.0AF58.1652230.0323000.032.4993.0Kabul8672.0149.902.3AFN4.472.10.701.910135e+10104.09.747.9Kabul64.5638.00.43Pashto78.40.2838041754.048.99.371.411.129797273.033.93911067.709953
1Albania105.0AL43.128748.09000.011.78355.0Tirana4536.0119.051.4ALL1.6228.11.361.527808e+10107.055.07.8Tirana78.515.01.12Albanian56.91.202854191.055.718.636.612.331747593.041.15333220.168331
2Algeria18.0DZ17.4NaN317000.024.28213.0Algiers150006.0151.362.0DZD3.020.80.281.699882e+11109.951.420.1Algiers76.7112.00.95Arabic28.11.7243053054.041.237.266.111.7031510100.028.0338861.659626
3Andorra164.0AD40.0468.0NaNNaN376.0Andorra la Vella469.0NaNNaNEUR1.2734.01.513.154058e+09106.4NaN2.7Andorra la VellaNaNNaN6.63Catalan36.43.3377142.0NaNNaNNaNNaN67873.042.5062851.521801
4Angola26.0AO47.51246700.0117000.0NaN244.0Luanda34693.0261.7317.1AOA5.5246.30.979.463542e+10113.59.351.6Luanda60.8241.00.71Portuguese33.40.2131825295.077.59.249.16.8921061025.0-11.20269217.873887
5Antigua and Barbuda223.0AG20.5443.0NaN15.331.0St. John's Saint John557.0113.811.2XCD1.9922.30.991.727759e+09105.024.85.0St. John's Saint John76.942.03.04English24.32.7697118.0NaN16.543.0NaNNaN17.060816-61.796428
6Argentina17.0AR54.3NaN105000.017.0254.0Buenos Aires201348.0232.7553.5ARS2.269.81.104.496634e+11109.790.08.8Buenos Aires76.539.03.35Spanish17.63.9644938712.061.310.1106.39.7941339571.0-38.416097-63.616672
7Armenia104.0AM58.929743.049000.013.99374.0Yerevan5156.0129.181.4AMD1.7611.70.771.367280e+1092.754.611.0Yerevan74.926.00.66Armenian81.64.402957731.055.620.922.616.991869848.040.06909945.038189
8AustraliaNaNAU48.2NaN58000.012.6061.0Canberra375908.0119.801.6AUD1.7416.30.931.392681e+12100.3113.13.1Sydney82.76.013.59NaN19.63.6825766605.065.523.047.45.2721844756.0-25.274398133.775136
9Austria109.0AT32.483871.021000.09.7043.0Vienna61448.0118.061.5EUR1.4746.91.204.463147e+11103.185.12.9Vienna81.65.0NaNGerman17.9NaN8877067.060.725.451.44.675194416.047.51623114.550072
countrydensity_p_km2abbreviationagricultural_land_pctland_area_km2armed_forces_sizebirth_ratecalling_codecapital_major_cityco2_emissionscpicpi_change_pctcurrency_codefertility_rateforested_area_pctgasoline_pricegdpgross_primary_education_enrollment_pctgross_tertiary_education_enrollment_pctinfant_mortalitylargest_citylife_expectancymaternal_mortality_ratiominimum_wageofficial_languageout_of_pocket_health_expenditurephysicians_per_thousandpopulationpopulation:_labor_force_participation_pcttax_revenue_pcttotal_tax_rateunemployment_rateurban_populationlatitudelongitude
185United Kingdom281.0GB71.7243610.0148000.011.0044.0London379025.0119.621.7GBP1.6813.11.46NaN101.260.03.6London81.37.010.13English14.82.8166834405.062.825.530.63.8555908316.055.378051-3.435973
186United States36.0US44.4NaNNaN11.601.0Washington D.C.5006302.0117.247.5USD1.7333.90.71NaN101.888.25.6New York City78.519.07.25NaN11.12.61NaN62.09.636.614.70NaN37.090240-95.712891
187Uruguay20.0UY82.6176215.022000.013.86598.0Montevideo6766.0202.927.9UYU1.9710.71.505.604591e+10108.563.16.4Montevideo77.817.01.66Spanish16.2NaN3461734.064.020.141.88.733303394.0-32.522779-55.765835
188Uzbekistan79.0UZ62.9447400.068000.023.30998.0Tashkent91811.0NaNNaNUZS2.427.51.035.792129e+10104.210.119.1Tashkent71.629.00.24Uzbek42.72.3733580650.065.114.831.65.9216935729.041.37749164.585262
189Vanuatu25.0VU15.312189.0NaN29.60678.0Port Vila147.0117.132.8VUV3.7836.11.319.170589e+08109.34.722.3Port Vila70.372.01.56French8.90.17299882.069.917.88.54.3976152.0-15.376706166.959158
190Venezuela32.0VE24.5912050.0343000.017.8858.0Caracas164175.02740.27254.9VED2.2752.70.004.823593e+1197.279.321.4Caracas72.1125.00.01Spanish45.81.9228515829.059.7NaN73.38.8025162368.06.423750-66.589730
191Vietnam314.0VN39.3331210.0522000.016.7584.0Hanoi192668.0163.522.8VND2.0548.10.802.619212e+11110.628.516.5Ho Chi Minh City75.343.00.73Vietnamese43.50.8296462106.077.419.137.62.0135332140.014.058324108.277199
192Yemen56.0YE44.6527968.040000.030.45967.0Sanaa10609.0157.588.1YER3.791.00.922.691440e+1093.610.242.9Sanaa66.1164.0NaNArabic81.00.3129161922.038.0NaN26.612.9110869523.015.55272748.516388
193Zambia25.0ZM32.1752618.016000.036.19260.0Lusaka5141.0212.319.2ZMW4.6365.21.402.306472e+1098.74.140.4Lusaka63.5213.00.24English27.51.1917861030.074.616.215.611.437871713.0-13.13389727.849332
194Zimbabwe38.0ZW41.9390757.051000.030.68263.0Harare10983.0105.510.9NaN3.6235.51.342.144076e+10109.910.033.9Harare61.2458.0NaNShona25.80.2114645468.083.120.731.64.954717305.0-19.01543829.154857